Cited by 22Open Source Software InnovationsMobile Crowdsensing and CrowdsourcingDesign Education and Practice

How to Solve Problems with Crowds: A Computer‐Based Simulation Model

Vuculescu, Oana, Bergenholtz, Carsten·2014·Creativity and Innovation Management

Abstract

Organizations rely on crowds for a variety of reasons, e.g. in order to evaluate (Amazon), create content (Threadless) but also to solve given problems (InnoCentive and OpenIDEO). Several studies have examined how to organize problem‐solving activities. However, most papers have examined the crowdsourcing process using a partial perspective and a wide‐ranging outlook has been missing. This study uses a computer‐based simulation model and anecdotal case studies of InnoCentive and OpenIDEO, in order to study the underlying drivers of collective problem solving behavior. Results suggest that dynamics between the number of users, number of iterations and different selection mechanisms impact the ability to find an optimal solution to the given problem.

Integrity signals

Registry

Crossref · 10.1111/caim.12059

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Vuculescu, O., & Bergenholtz, C.
Affiliations
Aarhus University (DK)
Venue
Creativity and Innovation Management
Publisher
Wiley
Published
2014-04
Volume
23
Issue
2
Pages
121-136
ISSN
  • 0963-1690 (ISSN-L)
  • 1467-8691
OpenAlex
W2111178907
Cited by
22
References
52
Citations by year
2025: 1 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 3 · 2019: 1 · 2018: 4 · 2017: 1 · 2016: 3 · 2015: 2
FWCI
2.98
Type
journal article
Language
en
Open access
closed
Locations
Creativity and Innovation Management (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
Keywords
crowdsourcing, collective problem solving, computer simulation model, InnoCentive, selection mechanisms, user participation, optimal solution

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review